Vice President, Full-Stack Engineer
BNY Mellon24 hours ago
Chennai, IndiaStaff+
Responsibilities
- Design, develop, test, deploy, and maintain full-stack applications for applied AI solutions, enterprise platforms, and AI-enabled product flows.
- Integrate AI/ML capabilities, model outputs, prompts, automation workflows, data services, APIs, and enterprise systems into product experiences.
- Enhance and support AI platforms through defect resolution, release support, troubleshooting, performance improvements, and maintainability work.
- Translate product requirements into technical designs, implementation plans, and working software with product, engineering, and data science partners.
- Participate in code reviews, technical documentation, automated testing, software verification, release planning, deployment, and production readiness.
- Troubleshoot and debug systems, improve reliability and performance, address technical debt, and enhance existing applications.
- Ensure solutions align with enterprise architecture, security, privacy, resiliency, observability, and change management standards.
- Collaborate with product, engineering, data science, platform, operations, risk, and governance teams to deliver scalable capabilities.
Requirements
- 10+ years of experience in software development, full-stack engineering, application development, platform support, or related technology roles.
- Experience developing, supporting, and enhancing enterprise applications using modern application, API, integration, and platform technologies.
- Experience building secure, scalable, testable, and maintainable software in complex enterprise environments.
- Strong understanding of software development lifecycle practices, automated testing, code reviews, release management, and production support.
- Familiarity with AI-enabled applications, automation platforms, data-driven products, model integrations, prompt-based workflows, or AI/ML-enabled software solutions.
- Strong troubleshooting skills involving application debugging, log review, defect resolution, and application reliability improvements.
- Understanding of security, privacy, performance, resiliency, and maintainability considerations in enterprise software development.
- Experience with cloud platforms, containerization, microservices, DevOps tooling, observability, APIs, data integrations, and production support practices.
- Experience with Python, Java, JavaScript or TypeScript, React, Node.js, SQL or NoSQL databases, APIs, and modern engineering toolchains.
- Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent work experience.
- Experience in financial services, enterprise technology, or another highly regulated environment is preferred.
- Exposure to generative AI, large language models, retrieval systems, agentic workflows, AI-assisted development, or enterprise AI platforms.
- Familiarity with AI observability, workflow automation, prompt orchestration, model lifecycle tooling, or data pipeline integration is a plus.
- Strong communication, problem-solving, ownership, and collaboration skills.
Categories
About BNY Mellon
BNY Mellon is a public, New York–based global financial services company providing investment and wealth management, asset servicing, clearance, collateral, and treasury services to institutions, banks, governments, and individuals. It also offers data and investment operations software, including the Eagle platform, delivered as cloud and managed services. Founded in 1784, it is one of the world’s largest custodian banks and asset servicers.